Scipediacontent: Scipediacontent moved page Draft Content 453090015 to Mora et al 2018c

2021-02-12T13:08:37Z

Scipediacontent moved page Draft Content 453090015 to Mora et al 2018c

Scipediacontent: Created page with " == Abstract == Environmental sensors are exploited in smart homes for many purposes. Sensor data inherently carries behavioral information, possibly useful to infer wellness..."

2021-02-12T13:08:33Z

Created page with " == Abstract == Environmental sensors are exploited in smart homes for many purposes. Sensor data inherently carries behavioral information, possibly useful to infer wellness..."

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== Abstract ==

Environmental sensors are exploited in smart homes for many purposes. Sensor data inherently carries behavioral information, possibly useful to infer wellness and health-related insights in an indirect fashion. In order to exploit such features, however, powerful analytics are needed to convert raw sensor output into meaningful and accessible knowledge. In this paper, a complete monitoring architecture is presented, including home sensors and cloud-based back-end services. Unsupervised techniques for behavioral data analysis are presented, including: (i) regression and outlier detection models (also used as feature extractors for more complex models)

(ii) statistical hypothesis testing frameworks for detecting changes in sensor-detected activities

and (iii) a clustering process, leveraging deep learning techniques, for extracting complex, multivariate patterns from daily sensor data. Such methods are discussed and evaluated on real-life data, collected within several EU-funded projects. Overall, the presented methods may prove very useful to build effective monitoring services, suitable for practical exploitation in caregiving activities, complementing conventional telemedicine techniques.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_453090015-beopen281-1414-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.3390/s18061951 http://dx.doi.org/10.3390/s18061951] under the license https://creativecommons.org/licenses/by

* [http://dx.doi.org/10.3390/s18061951 http://dx.doi.org/10.3390/s18061951] under the license http://creativecommons.org/licenses/by/3.0/

* [http://dx.doi.org/10.3390/s18061951 http://dx.doi.org/10.3390/s18061951] under the license https://creativecommons.org/licenses/by/4.0

* [http://europepmc.org/articles/PMC6021856 http://europepmc.org/articles/PMC6021856] under the license https://creativecommons.org/licenses/by/4.0/

* [https://dx.doi.org/10.3390/s18061951 https://dx.doi.org/10.3390/s18061951]

* [https://www.mdpi.com/1424-8220/18/6/1951/pdf https://www.mdpi.com/1424-8220/18/6/1951/pdf]

* [http://www.mdpi.com/1424-8220/18/6/1951 http://www.mdpi.com/1424-8220/18/6/1951],
: [https://doaj.org/toc/1424-8220 https://doaj.org/toc/1424-8220] under the license cc-by

* [http://www.mdpi.com/1424-8220/18/6/1951/pdf http://www.mdpi.com/1424-8220/18/6/1951/pdf],
: [http://dx.doi.org/10.3390/s18061951 http://dx.doi.org/10.3390/s18061951]

* [https://dblp.uni-trier.de/db/journals/sensors/sensors18.html#MoraMC18 https://dblp.uni-trier.de/db/journals/sensors/sensors18.html#MoraMC18],
: [https://www.ncbi.nlm.nih.gov/pubmed/29914127 https://www.ncbi.nlm.nih.gov/pubmed/29914127],
: [https://academic.microsoft.com/#/detail/2808597232 https://academic.microsoft.com/#/detail/2808597232] under the license https://creativecommons.org/licenses/by/4.0/

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Mora et al 2018c - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 453090015 to Mora et al 2018c

Scipediacontent: Created page with " == Abstract == Environmental sensors are exploited in smart homes for many purposes. Sensor data inherently carries behavioral information, possibly useful to infer wellness..."